American Express (AXP) EBITDA (2010 - 2026)
American Express' EBITDA came in at $6.94 billion for Q3 2026, up 8.3% from $6.41 billion a year earlier and up 6.5% from the prior quarter.
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Analysis
American Express (AXP) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, American Express reported EBITDA of $25.29 billion, up 8.0% year-over-year; for FY2025, it came in at $23.81 billion, up 4.3% from FY2024.
- EBITDA has increased in each of the last five years, with a five-year compound annual growth rate of 24.6% (FY2020 to FY2025).
- Going back by year, EBITDA was $22.82 billion in FY2024 (+20.0%), $19.01 billion in FY2023 (+36.1%), $13.97 billion in FY2022 (+2.2%) and $13.67 billion in FY2021 (+72.2%).
- The Q3 2026 figure represents the highest quarterly EBITDA in data going back to Q1 2010.
- Year-over-year, EBITDA has increased for five consecutive quarters, with growth averaging 6.2% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q3 2023 (growth of 45.2%), and the weakest in Q1 2022 (a decline of 9.2%).
- Business Quant data shows AXP's EBITDA at $6.52 billion (Q2 2026), $6.22 billion (Q1 2026) and $5.61 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 903.97 Bn | 903.97 Bn | - | - |
| 2 | Bank Of America | 356.92 Bn | -2,019.15 Bn | - | 30.01 Bn |
| 3 | Hsbc Holdings | 296.96 Bn | -1,806.64 Bn | - | - |
| 4 | Morgan Stanley | 285.10 Bn | 285.10 Bn | - | - |
| 5 | Royal Bank Of Canada | 284.66 Bn | -545.38 Bn | - | 18.60 Bn |
| 6 | Goldman Sachs | 266.61 Bn | 266.61 Bn | - | - |
| 7 | Wells Fargo & Company | 250.94 Bn | 250.94 Bn | - | 20.33 Bn |
| 8 | Mitsubishi Ufj Financial | 245.01 Bn | -96.38 Bn | 10.89 Bn | - |
| 9 | Toronto Dominion Bank | 214.22 Bn | -461.66 Bn | - | 1.18 Bn |
| 10 | American Express | 214.16 Bn | 13.64 Bn | - | 6.94 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.94 Bn |
| Jun 30, 2026 | 6.52 Bn |
| Mar 31, 2026 | 6.22 Bn |
| Dec 31, 2025 | 5.61 Bn |
| Sep 30, 2025 | 6.41 Bn |
| Jun 30, 2025 | 6.05 Bn |
| Mar 31, 2025 | 5.73 Bn |
| Dec 31, 2024 | 5.22 Bn |
| Sep 30, 2024 | 5.78 Bn |
| Jun 30, 2024 | 6.28 Bn |
| Mar 31, 2024 | 5.54 Bn |
| Dec 31, 2023 | 4.88 Bn |
| Sep 30, 2023 | 5.33 Bn |
| Jun 30, 2023 | 4.80 Bn |
| Mar 31, 2023 | 4.00 Bn |
| Dec 31, 2022 | 3.50 Bn |
| Sep 30, 2022 | 3.67 Bn |
| Jun 30, 2022 | 3.38 Bn |
| Mar 31, 2022 | 3.43 Bn |
| Dec 31, 2021 | 3.02 Bn |
API Access
American Express EBITDA API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=ebitda&ticker=AXP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "AXP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=AXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();